Leveraging Machine Learning Techniques using Inertial Sensor‐based Static Balance Data for Early Detection of Mild Cognitive Impairment

Abstract

Background: Mild Cognitive Impairment (MCI), an early stage of dementia, is often difficult to diagnose due to its subtle and transitional nature. Research has shown that balance impairments can serve as early indicators of cognitive decline, highlighting the potential of wearable sensor technology for detecting MCI at an early stage.